Digital Methods for Spatial Planning

or Smart Planning


Under the background of the Fourth Industrial Revolution, emerging technologies have a profound impact on urban life and urban space. As a result, urban planning in the new era will also face transformation. Under the framework of Data Augmented Design, this paper proposes the process and three characteristics of smart urban planning. Meanwhile, this paper emphases five key destinations for urban planning and design in the coming 14th Five-Year Plan. Firstly, increase the research and layout of ICT infrastructure, and strengthen the construction of urban perception system. Secondly, understand the change of the needs and behavior of citizens in the new era, and promote the in-depth study of environmental behavior. Thirdly, study the impact of emerging technologies on urban space, and explore the future transformation of urban space. Fourthly, promote the application of Data Augmented Design in traditional planning, and search for innovative perspective and methods for future planning and design. Lastly, pay more attention to the human-scale research and design, and construct more human-centered public space.

Our perspective paper published in City Planning Review
In Chinese with English abstract
龙瀛和张恩嘉 2019 城市规划_智慧规划.pdf
Adobe Acrobat Document 2.9 MB
Liu et al 2023 FURP_UrbanInformatics.pdf
Adobe Acrobat Document 867.5 KB

Case studies

龙瀛 2019 国土空间规划局_智慧规划案例汇编.pdf
Adobe Acrobat Document 17.5 MB


A brief introduction to the forum
Adobe Acrobat Document 1.4 MB
The presentation files of almost all presenters
Compressed Archive in ZIP Format 37.9 MB

Special Issue in Urban and Rural Planning Studies

An edited special issue on methods for spatial plan
龙瀛和顾朝林 2019 城市与区域规划研究_主编导读.pdf
Adobe Acrobat Document 1.6 MB


Adobe Acrobat Document 15.5 MB

Microsimulation for Spatial Plan

The Doctoral Thesis entitled "Microsimulation for Spatial Plan"
In Chinese
龙瀛 2011 博士学位论文_面向空间规划的微观模拟.pdf
Adobe Acrobat Document 26.2 MB

Urban Growth Boundaries

We have conducted extensive studies on establishing urban growth boundaries (UGBs) and evaluate UGBs using both conventional and new data supported by quantitative methods like constrained cellular automata. Please refer to the Urban Growth Boundaries channel for more information ( 

Planning Support Systems

Please see our project Planning Support Systems (

Applied Urban Modeling

Please see our project BUDEM (

We also have online course ( and offline course () in the Courses channel ( 

Big Data Analytics

We believe that big data and new data are having great opportunities for supporting spatial plans. We have a lot of projects on the direction and courses (online MOOC and offline). We also have published a national level textbook on big data and urban planning.